Specter Trend Cloud [ChartPrime]⯁ OVERVIEW
Specter Trend Cloud is a flexible moving-average–based trend tool that builds a colored “cloud” around market direction and highlights key retest opportunities. Using two adaptive MAs (short vs. long), offset by ATR for volatility adjustment, it shades the background with a gradient cloud that switches color on trend flips. When price pulls back to retest the short MA during an active trend, the script plots diamond markers and extends dotted levels from that retest price. If price later breaks through that level, the extension is terminated—giving traders a clean visual of valid vs. invalid retests.
⯁ KEY FEATURES
Multi-MA Core Engine:
Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA as the base. The indicator tracks both a short-term MA (Length) and a longer twin (2 × Length).
Volatility-Adjusted Offset:
Both MAs are shifted by ATR(200) depending on trend direction—pulling them down in uptrends, up in downtrends—so the cloud reflects realistic breathing room instead of razor-thin bands.
Gradient Trend Cloud:
Between the two shifted MAs, the script fills a shaded region:
• Aqua cloud = bullish trend
• Orange cloud = bearish trend
Gradient intensity increases toward the active edge, providing a visual sense of strength.
Trend Flip Logic:
A flip occurs whenever the short MA crosses above or below the long MA. The cloud instantly changes color and begins tracking the new regime.
Retest Detection:
During an ongoing trend (no flip), if price retests the short MA within a 5-bar “cooldown,” the tool:
• Marks the retest with diamond shapes below/above the bar.
• Draws a dotted horizontal line from the retest price, extending into the future.
Automatic Level Termination:
If price later closes through that dotted level, the line disappears—keeping only active, respected retest levels on your chart.
⯁ HOW IT WORKS (UNDER THE HOOD)
MA Calculations:
ma1 = MA(src, Length), ma2 = MA(src, 2 × Length).
Trend = ma1 > ma2 (bull) or ma1 < ma2 (bear).
ATR shift offsets both ma1 and ma2 by ±ATR depending on trend.
Cloud Fill:
Plots ma1 and ma2 (invisible for long MA). Uses fill() with semi-transparent aqua/orange gradient between the two.
Retest Logic:
• Bullish retest: ta.crossover(low, ma1) while trend = bull.
• Bearish retest: ta.crossunder(high, ma1) while trend = bear.
Only valid if at least 5 bars have passed since last retest.
When triggered, it stores bar index and price, draws diamonds, and extends a dotted line.
Level Clearing:
If current high > retest upper line (bearish case) or low < retest lower line (bullish case), that line is deleted (stops extending).
⯁ USAGE
Use the cloud color as the higher-level trend bias (aqua = long, orange = short).
Look for diamonds + dotted lines as pullback/retest zones where trend continuation may launch.
If a retest level holds and price rebounds, it strengthens confidence in the trend.
If a retest level is broken, treat it as a warning of weakening trend or possible reversal.
Experiment with MA Type (SMA vs. EMA, etc.) to align sensitivity with your asset or timeframe.
Adjust Length for faster flips on low timeframes or smoother signals on higher ones.
⯁ CONCLUSION
Specter Trend Cloud combines trend detection, volatility-adjusted shading, and retest visualization into a single tool. The gradient cloud provides instant clarity on direction, while diamonds and dotted retest levels give you tactical entry/retest zones that self-clean when invalidated. It’s a versatile trend-following and confirmation layer, adaptable across multiple assets and styles.
트렌드 어낼리시스
cd_bsl_ssl_CxGeneral
This indicator is designed to show the levels where stop-loss orders from buyers and sellers are most likely clustered.
Swing levels formed on the aligned higher time frame (HTF) are displayed on the chart as Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL).
________________________________________
Menu & Usage
• HTF Selection:
o In “Auto” mode, the HTF is selected automatically.
o In “Manual” mode, the user can choose the HTF themselves.
• Bar Control:
By adjusting the bar control value, the user can define the number of bars required for a valid BSL or SSL sweep.
This option helps keep the number of alerts under control.
________________________________________
I’d be happy to hear your feedback and suggestions.
Happy trading! 🎉
Institutional Levels (CNN) - [PhenLabs]📊Institutional Levels (Convolutional Neural Network-inspired)
Version : PineScript™v6
📌Description
The CNN-IL Institutional Levels indicator represents a breakthrough in automated zone detection technology, combining convolutional neural network principles with advanced statistical modeling. This sophisticated tool identifies high-probability institutional trading zones by analyzing pivot patterns, volume dynamics, and price behavior using machine learning algorithms.
The indicator employs a proprietary 9-factor logistic regression model that calculates real-time reaction probabilities for each detected zone. By incorporating CNN-inspired filtering techniques and dynamic zone management, it provides traders with unprecedented accuracy in identifying where institutional money is likely to react to price action.
🚀Points of Innovation
● CNN-Inspired Pivot Analysis - Advanced binning system using convolutional neural network principles for superior pattern recognition
● Real-Time Probability Engine - Live reaction probability calculations using 9-factor logistic regression model
● Dynamic Zone Intelligence - Automatic zone merging using Intersection over Union (IoU) algorithms
● Volume-Weighted Scoring - Time-of-day volume Z-score analysis for enhanced zone strength assessment
● Adaptive Decay System - Intelligent zone lifecycle management based on touch frequency and recency
● Multi-Filter Architecture - Optional gradient, smoothing, and Difference of Gaussians (DoG) convolution filters
🔧Core Components
● Pivot Detection Engine - Advanced pivot identification with configurable left/right bars and ATR-normalized strength calculations
● Neural Network Binning - Price level clustering using CNN-inspired algorithms with ATR-based bin sizing
● Logistic Regression Model - 9-factor probability calculation including distance, width, volume, VWAP deviation, and trend analysis
● Zone Management System - Intelligent creation, merging, and decay algorithms for optimal zone lifecycle control
● Visualization Layer - Dynamic line drawing with opacity-based scoring and optional zone fills
🔥Key Features
● High-Probability Zone Detection - Automatically identifies institutional levels with reaction probabilities above configurable thresholds
● Real-Time Probability Scoring - Live calculation of zone reaction likelihood using advanced statistical modeling
● Session-Aware Analysis - Optional filtering to specific trading sessions for enhanced accuracy during active market hours
● Customizable Parameters - Full control over lookback periods, zone sensitivity, merge thresholds, and probability models
● Performance Optimized - Efficient processing with controlled update frequencies and pivot processing limits
● Non-Repainting Mode - Strict mode available for backtesting accuracy and live trading reliability
🎨Visualization
● Dynamic Zone Lines - Color-coded support and resistance levels with opacity reflecting zone strength and confidence scores
● Probability Labels - Real-time display of reaction probabilities, touch counts, and historical hit rates for active zones
● Zone Fills - Optional semi-transparent zone highlighting for enhanced visual clarity and immediate pattern recognition
● Adaptive Styling - Automatic color and opacity adjustments based on zone scoring and statistical significance
📖Usage Guidelines
● Lookback Bars - Default 500, Range 100-1000, Controls the historical data window for pivot analysis and zone calculation
● Pivot Left/Right - Default 3, Range 1-10, Defines the pivot detection sensitivity and confirmation requirements
● Bin Size ATR units - Default 0.25, Range 0.1-2.0, Controls price level clustering granularity for zone creation
● Base Zone Half-Width ATR units - Default 0.25, Range 0.1-1.0, Sets the minimum zone width in ATR units for institutional level boundaries
● Zone Merge IoU Threshold - Default 0.5, Range 0.1-0.9, Intersection over Union threshold for automatic zone merging algorithms
● Max Active Zones - Default 5, Range 3-20, Maximum number of zones displayed simultaneously to prevent chart clutter
● Probability Threshold for Labels - Default 0.6, Range 0.3-0.9, Minimum reaction probability required for zone label display and alerts
● Distance Weight w1 - Controls influence of price distance from zone center on reaction probability
● Width Weight w2 - Adjusts impact of zone width on probability calculations
● Volume Weight w3 - Modifies volume Z-score influence on zone strength assessment
● VWAP Weight w4 - Controls VWAP deviation impact on institutional level significance
● Touch Count Weight w5 - Adjusts influence of historical zone interactions on probability scoring
● Hit Rate Weight w6 - Controls prior success rate impact on future reaction likelihood predictions
● Wick Penetration Weight w7 - Modifies wick penetration analysis influence on probability calculations
● Trend Weight w8 - Adjusts trend context impact using ADX analysis for directional bias assessment
✅Best Use Cases
● Swing Trading Entries - Enter positions at high-probability institutional zones with 60%+ reaction scores
● Scalping Opportunities - Quick entries and exits around frequently tested institutional levels
● Risk Management - Use zones as dynamic stop-loss and take-profit levels based on institutional behavior
● Market Structure Analysis - Identify key institutional levels that define current market structure and sentiment
● Confluence Trading - Combine with other technical indicators for high-probability trade setups
● Session-Based Strategies - Focus analysis during high-volume sessions for maximum effectiveness
⚠️Limitations
● Historical Pattern Dependency - Algorithm effectiveness relies on historical patterns that may not repeat in changing market conditions
● Computational Intensity - Complex calculations may impact chart performance on lower-end devices or with multiple indicators
● Probability Estimates - Reaction probabilities are statistical estimates and do not guarantee actual market outcomes
● Session Sensitivity - Performance may vary significantly between different market sessions and volatility regimes
● Parameter Sensitivity - Results can be highly dependent on input parameters requiring optimization for different instruments
💡What Makes This Unique
● CNN Architecture - First indicator to apply convolutional neural network principles to institutional-level detection
● Real-Time ML Scoring - Live machine learning probability calculations for each zone interaction
● Advanced Zone Management - Sophisticated algorithms for zone lifecycle management and automatic optimization
● Statistical Rigor - Comprehensive 9-factor logistic regression model with extensive backtesting validation
● Performance Optimization - Efficient processing algorithms designed for real-time trading applications
🔬How It Works
● Multi-timeframe pivot identification - Uses configurable sensitivity parameters for advanced pivot detection
● ATR-normalized strength calculations - Standardizes pivot significance across different volatility regimes
● Volume Z-score integration - Enhanced pivot weighting based on time-of-day volume patterns
● Price level clustering - Neural network binning algorithms with ATR-based sizing for zone creation
● Recency decay applications - Weights recent pivots more heavily than historical data for relevance
● Statistical filtering - Eliminates low-significance price levels and reduces market noise
● Dynamic zone generation - Creates zones from statistically significant pivot clusters with minimum support thresholds
● IoU-based merging algorithms - Combines overlapping zones while maintaining accuracy using Intersection over Union
● Adaptive decay systems - Automatic removal of outdated or low-performing zones for optimal performance
● 9-factor logistic regression - Incorporates distance, width, volume, VWAP, touch history, and trend analysis
● Real-time scoring updates - Zone interaction calculations with configurable threshold filtering
● Optional CNN filters - Gradient detection, smoothing, and Difference of Gaussians processing for enhanced accuracy
💡Note
This indicator represents advanced quantitative analysis and should be used by traders familiar with statistical modeling concepts. The probability scores are mathematical estimates based on historical patterns and should be combined with proper risk management and additional technical analysis for optimal trading decisions.
INFLECTION NEXUS - SPAINFLECTION NEXUS - SPA (Shadow Portfolio Adaptive)
Foreword: The Living Algorithm
For decades, technical analysis has been a conversation between a trader and a static chart. We apply our indicators with their fixed-length inputs, and we hope that our rigid tools can somehow capture the essence of a market that is fluid, chaotic, and perpetually evolving. When our tools fail, we are told to "adapt." But what if the tools themselves could learn that lesson? What if our indicators could adapt not just for us, but with us?
This script, INFLECTION NEXUS - SPA, is the realization of that vision. It is an advanced analytical framework built around a revolutionary core: the Shadow Portfolio Adaptive (SPA) Engine . The buy and sell signals you see on the chart are an evolution of the logic from my previous work, "Turning Point." However, this is not a simple combination of two scripts. The SPA engine so fundamentally transforms the nature of the analysis that it creates an entirely new class of indicator. This publication is a showcase of that groundbreaking, self-learning engine.
This system is undeniably complex. When you first load it, the sheer volume of information may feel overwhelming. That is a testament to the depth of its analysis. This guide is designed to be your comprehensive manual, to break down every single component, every color, every number, into simple, understandable concepts. By the end of this document, you will not only master its functions but will also possess a deeper understanding of the market dynamics it is designed to reveal.
Chapter 1: The Paradigm Shift - Why the SPA Engine is a Leap Forward
To grasp the innovation here, we must first deconstruct the severe limitations of traditional "adaptive" indicators.
Part A: The Traditional Model - Driving by the Rear-View Mirror
Conventional "adaptive" systems are fundamentally reactive. They operate on a slow, inefficient loop: they wait for their own specific, biased signal to fire, wait for that trade to close, and only after a long and statistically significant "warm-up" period of 50-100 trades do they finally make a small, retrospective adjustment. They are always adapting to a market that no longer exists.
Part B: The SPA Model - The Proactive Co-Pilot
The Shadow Portfolio Adaptive (SPA) engine is a complete re-imagining of this process. It is not reactive; it is proactive, data-saturated, and instantly aware.
Continuous, Unbiased Learning: The SPA engine does not wait for a signal to learn. Its Shadow Portfolio is constantly running 5-bar long and short trades in the background. It learns from every single 5-bar slice of market action , giving it a continuous, unbiased stream of performance data. It is the difference between reading a textbook chapter and having a live sparring partner in the ring 24/7.
Instantaneous Market Awareness - The End of the "Warm-Up": This is the critical innovation. The SPA engine does not require a 100-trade warm-up period. The learning does not start after 50 trades; it begins on the 6th bar of the chart when the first shadow trade closes. From that moment on, the system is market-aware, analyzing data, and capable of making intelligent adjustments. The SPA engine is not adapting to old wins and losses. It is adapting, in near real-time, to the market's ever-shifting character, volatility, and personality.
Chapter 2: The Anatomy of the SPA Engine - A Granular Deep Dive
The engine is composed of three primary systems that work in a sophisticated, interconnected symphony.
Section 1: The Shadow Portfolio (The Information Harvester)
What it is, Simply: Think of this as the script's eyes and ears. It's a team of 10 virtual traders (5 long, 5 short) who are constantly taking small, quick trades to feel out the market.
How it Works, Simply: On every new bar, a new "long" trader and a new "short" trader enter the market. Exactly 5 bars later, they close their positions. This cycle is perpetual and relentless.
The Critical 'Why': Because these virtual traders enter and exit based on a fixed time (5 bars), not on a "good" or "bad" signal, their results are completely unbiased . They are simply measuring: "What happened to price over the last 5 bars?" This provides the raw, untainted truth about the market's behavior that the rest of the system needs to learn effectively.
The Golden Metric (ATR Normalization): The engine doesn't just look at dollar P&L. It's smarter than that. It asks a more intelligent question: "How much did this trade make relative to the current volatility?"
Analogy: Imagine a flea and an elephant. If they both jump 1 inch, who is more impressive? The flea. The SPA engine understands this. A $10 profit when the market is dead quiet is far more significant than a $10 profit during a wild, volatile swing.
The Formula: realized_atr = (close - trade.entry) / trade.atr_entry. It takes the raw profit and divides it by the Average True Range (a measure of volatility) at the moment of entry. This gives a pure, "apples-to-apples" score for every single trade, which is the foundational data point for all learning.
Section 2: The Cognitive Map (The Long-Term Brain)
What it is, Simply: This is the engine's deep memory, its library of experiences. Imagine a giant, 64-square chessboard (8x8 grid). Each square on the board represents a very specific type of market environment.
The Two Dimensions of Thought (The 'How'): How does it know which square we are on? It looks at two things:
The Market's Personality (X-Axis): Is the market behaving like a disciplined soldier, marching in a clear trend? Or is it like a chaotic, unpredictable child, running all over the place? The engine calculates a "Regime" score to figure this out.
The Market's Energy Level (Y-Axis): Is the market sleepy and quiet, or is it wide-awake and hyperactive? The engine measures "Normalized Volatility" to determine this.
The Power of Generalization (The 'Why'): When a Shadow Portfolio trade closes, its result is recorded in the corresponding square on the chessboard. But here's the clever part: it also shares a little bit of that lesson with the squares immediately next to it (using a Gaussian Kernel).
Analogy: If you touch a hot stove and learn "don't touch," your brain is smart enough to know you probably shouldn't touch the hot oven door next to it either, even if you haven't touched it directly. The Cognitive Map does the same thing, allowing it to make intelligent inferences even in market conditions it has seen less frequently. Each square remembers what indicator settings worked best in that specific environment.
Section 3: The Adaptive Engine (The Central Nervous System)
What it is, Simply: This is the conductor of the orchestra. It takes information from all other parts of the system and decides exactly what to do.
The Symphony of Inputs: It listens to three distinct sources of information before making a decision:
The Short-Term Memory (Rolling Stats): It looks at the performance of the last rollN shadow trades. This is its immediate, recent experience.
The Long-Term Wisdom (Cognitive Map): It consults the grand library of the Cognitive Map to see what has worked best in the current market type over the long haul.
The Gut Instinct (Bin Learning): It keeps a small "mini-batch" of the most recent trades. If this batch shows a very strong, sudden pattern, it can trigger a rapid, reflexive adjustment, like pulling your hand away from a flame.
The Fusion Process: It then blends these three opinions together in a sophisticated way. It gives more weight to the opinions it's more confident in (e.g., a Cognitive Map square with hundreds of trades of experience) and uses your Adaptation Intensity (dialK) input to decide how much to listen to its "gut instinct." The final decision is then smoothed to ensure the indicator's parameters change in a stable, intelligent way.
Chapter 3: The Control Panel - A Novice's Guide to Every Input
This is the most important chapter. Let's break down what these confusing settings actually do in the simplest terms possible.
--- SECTION 1: THE DRIVER'S SEAT (SIGNAL ENGINE & BASE SETTINGS) ---
🧾 Signal Engine (Turning Point):
What it is: These are the rules for the final BUY and SELL signs.
Think of it like this: The SPA engine is the smart robot that tunes your race car. These settings are you, the driver, telling the robot what kind of race you're in.
Enable Reversal Mode: You tell the robot, "I want to race on a curvy track with lots of turns." The robot will tune the car to be agile for catching tops and bottoms.
Enable Breakout Mode: You tell the robot, "I want to race on a long, straight track." The robot will tune the car for pure speed to follow the trend.
Require New Extreme: This is a quality filter. It tells the driver, "Don't look for a turn unless we've just hit a new top speed on the straightaway." It makes sure the reversal is from a real extreme.
Min Bars Between Signals: This is the "pit stop" rule. You're telling the robot, "After you show me a sign, wait at least 10 bars before showing another one, so I don't get confused."
⚡ ATR Bands (Base Inputs):
What they are: These are the starting settings for your car before the robot starts tuning it. These are your factory defaults.
Sensitivity: This is the "Bump Detector." A low number means the car feels every tiny pebble on the road. A high number means it only notices the big speed bumps. You want to set it so it notices the important bumps (real market structure) but ignores the pebbles (noise).
ATR Period & Multiplier: These set the starting size of the "safety lane" (the green and blue bands) around your car. The robot's main job is to constantly adjust the size of this safety lane to perfectly fit the current road conditions.
📊 & 📈 Filter Settings (RSI & Volume):
What they are: These are your co-pilot's confirmation checks.
Enable RSI Filter: Your co-pilot will check the "Engine Temperature" (RSI). He won't let you hit the gas (BUY) if the engine is already overheating (overbought).
RSI Length & Lookbacks: These tune how your co-pilot's temperature gauge works. The defaults are standard.
Require Volume Spike: Your co-pilot will check the "Crowd Noise" (Volume). He won't give you a signal unless he hears the crowd roar, confirming that a lot of people are interested in this move.
🎯 Signal Quality Control:
Enable Major Levels Only: This tells your co-pilot to be extra picky. He will only confirm signals that happen after a huge, powerful move, ignoring all the small stuff.
--- SECTION 2: THE ROBOT'S BRAIN (ENGINE & LEARNING CONTROLS) ---
🎛️ Master Control:
Adaptation Intensity (dialK): THIS IS THE ROBOT'S PERSONALITY DIAL.
Turn it DOWN (1-5): The robot becomes a "Wise Old Professor." It thinks very slowly and carefully, gathers lots of data, and only makes a change when it is 100% sure. Its advice is very reliable but might come a little late.
Turn it UP (15-20): The robot becomes a "Hyper-Reactive Teenager." It has a short attention span, reacts instantly to everything it sees, and changes its mind constantly. It's super-fast to new information but might get faked out a lot.
The Default (10): A "Skilled Professional." The perfect balance of thoughtful and responsive. Start here.
🧠 Adaptive Engine:
Enable Adaptive System: This is the main power button for your robot. Turn it off, and you're driving a normal, non-smart car. Turn it on, and the robot takes over the tuning.
Use Shadow Cycle: This turns on the robot's "practice laps." The robot can't learn without practicing. This must be on for the robot to work.
Lock ATR Bands: This is a visual choice. "Locked" means the safety lanes on your screen stay where your factory defaults put them (the robot still makes changes to the signals in the background). "Unlocked" means you see the safety lanes moving and changing shape in real-time as the robot tunes them.
🎯 Learning (Global + Risk):
What they are: These are the deep-level settings for how your robot's brain processes information.
Rolling Window Size: This is the robot's "Short-Term Memory." How many of the last few practice laps should it remember? A small number means it only cares about what just happened. A big number means it remembers the last hour of practice.
Learn Rate & Smooth Alpha: This is "How big of a change should the robot make?" and "How smoothly should it make the change?" Think of it as turning the steering wheel. A high learn rate is like yanking the wheel; a low one is like a gentle turn. The smoothing makes sure the turn is graceful.
WinRate Thresholds & PnL Cap: These are rules for the robot's learning. They tell it what a "good" or "bad" outcome looks like and tell it to ignore crazy, once-in-a-lifetime events so its memory doesn't get corrupted.
--- SECTION 3: THE GARAGE (RISK, MEMORY & VISUALS) ---
⚠️ Risk Management:
What they are: These are safety rules you can give to your co-pilot for your own awareness. They appear on the dashboard.
The settings: You can set a max number of trades, a max loss for the day, and a "time out" period after a few losses.
Apply Risk to Shadow: This is an important switch. If you turn this ON, your safety rules also apply to the robot's practice laps. If you hit your max loss, the robot stops practicing and learning. It's recommended to leave this OFF so the robot can learn 24/7, even if you have stopped trading.
🗺️ Cognitive Map, STM & Checkpoints:
What it is: The robot's "Long-Term Memory" or its entire library of racing experience.
Use Cognitive Map & STM: These switches turn on the long-term and short-term memory banks. You want these on for the smartest robot.
Map Settings (Grid, Sigma, Half-Life): These are very advanced settings for neuroscientists. They control how the robot's brain is structured and how it forgets old information. The defaults are expertly tuned.
The Checkpoint System: This is the "Save Your Game" button for the robot.
To Save: Check Emit Checkpoint Now. Go to your alert log, and you will see a very long password. Copy this password.
To Load: Paste that password into the Memory Checkpoint box. Then, check Apply Checkpoint On Next Bar. The robot will instantly download all of its saved memories and experience.
🎨 Visuals & 🧩 Display Params:
What they are: These are all about how your screen looks.
You can control everything: The size and shape of the little diamonds (Entry Orbs), whether you see the purple Adapt Pulse, and where the Dashboards appear on your screen. You can change the Theme to Dark, Light, or Neon. These settings don't change how the robot thinks, only how it presents its information to you.
Chapter 4: The Command Center - Decoding the Dashboard
PANEL A (INFLECTION NEXUS): Your high-level mission control, showing the engine's classification of the current Market Context and the performance summary of the Shadow Portfolio.
PANEL B (SHADOW PORTFOLIO ADAPTIVE): Your deep diagnostic screen.
Performance Metrics: View advanced risk-adjusted stats like the Sharpe Ratio to understand the quality of the market movements the engine is learning from.
Adaptive Parameters (Live vs Base): THIS IS THE MOST CRITICAL SECTION. It shows the engine's Live parameters right next to your (Base) inputs. When the Live values deviate, the engine is communicating its learned wisdom to you. For example, a Live ATR Multiplier of 2.5 versus your Base of 1.4 is the engine telling you: "Caution. The market is currently experiencing high fake-outs and requires giving positions more room to breathe." This section is a direct translation of the engine's learning into actionable insight.
Chapter 5: Reading the Canvas - On-Chart Visuals
The Bands (Green/Blue Lines): These are not static Supertrend lines. They are the physical manifestation of the engine's current thinking. As the engine learns and adapts its ATR Period and Multiplier, you will see these bands widen, tighten, and adjust their distance from price. They are alive.
The Labels (BUY/SELL): These are the final output of the "Turning Point" logic, now supercharged and informed by the fully adaptive SPA engine.
The Purple Pulse (Dot and Background Glow): This is your visual cue that the engine is "thinking." Every time you see this pulse, it means the SPA has just completed a learning cycle and updated its parameters. It is actively recalibrating itself to the market.
Chapter 6: A Manifesto on Innovation and Community
I want to conclude with a personal note on why I dedicate countless hours to building systems like this and sharing them openly.
My purpose is to drive innovation, period. I am not in this space to follow the crowd or to re-package old ideas. The world does not need a 100th version of a slightly modified MACD. Real progress, real breakthroughs, come from venturing into the wilderness, from asking "what if?" and from pursuing concepts that lie at the very edge of possibility.
I am not afraid of being wrong. I am not afraid of being bested by my peers. In fact, I welcome it. If another developer takes an idea from this engine, improves it, and builds something even more magnificent, that is a profound win for our entire community. The only failure I recognize is the failure to try. The only trap I fear is the creative complacency of producing sterile, recycled work just to appease the status quo.
I love this community, and I believe with every fiber of my being that we have barely scratched the surface of what can be discovered and created. This script is my contribution to that shared journey. It is a tool, an idea, and a challenge to all of us: let's keep pushing.
DISCLAIMER: This script is an advanced analytical tool provided for educational and research purposes ONLY. It does not constitute financial advice. All trading involves substantial risk of loss. Past performance is not indicative of future results. Please use this tool responsibly and as part of a comprehensive trading plan.
As the great computer scientist Herbert A. Simon, a pioneer of artificial intelligence, famously said:
"Learning is any process by which a system improves performance from experience."
*Tooltips were updated with a comprehensive guide
May this engine enhance your experience.
— Dskyz, for DAFE Trading Systems
Algo MA💎 (V.4.3)Algo MA💎 V.4.3 - Multi-EMA System with Advanced Candle Analysis
**Algo MA💎 V.4.3** is a comprehensive trend analysis system that combines multiple EMA configurations with advanced candle coloring, support/resistance detection, and integrated trade management dashboards. This indicator provides a complete visual trading environment with sophisticated trend identification and portfolio tracking capabilities.
**Core Innovation & Originality**
This system uniquely integrates seven distinct analytical components:
1. **Dual-EMA Signal Engine** - Primary trend detection using 9/21 EMA crossovers with customizable sensitivity
2. **Advanced Candle Classification** - Multi-layer candle coloring with two sensitivity levels (violet/rose) based on ATR calculations
3. **Trend Confirmation System** - Secondary 20/50 EMA trend filter with dynamic cloud visualization
4. **Zero Lag EMA Implementation** - 144-period Zero Lag EMA with directional color coding for reduced lag trend analysis
5. **RSI Extreme Detection** - Overbought (75) and oversold (25) level identification with visual markers
6. **Dynamic Support/Resistance** - Pivot-based support and resistance level calculation with 50-bar lookback
7. **Integrated Trade Management** - Three customizable dashboard tables for real-time portfolio tracking
**System Architecture & Functionality**
**Primary Signal Generation:**
The core system uses a 9-period EMA and 21-period EMA comparison to generate directional bias. When EMA9 > EMA21, the system indicates bullish conditions; when EMA9 < EMA21, it signals bearish conditions. This creates the foundation for all visual elements and trend analysis.
**Advanced Candle Coloring Logic:**
The system employs a sophisticated three-layer candle coloring approach:
- **Green Candles**: EMA9 > EMA21 (bullish trend)
- **Red Candles**: EMA9 < EMA21 (bearish trend)
- **Violet Candles**: EMAs within sensitivity_violet * ATR(14) range (consolidation)
- **Rose Candles**: EMAs within sensitivity_rose * ATR(14) range (tight consolidation)
**Sensitivity-Based Classification:**
Two independent sensitivity parameters allow fine-tuning of consolidation detection:
- **Violet Sensitivity (0.3 default)**: Broader consolidation zones
- **Rose Sensitivity (0.1 default)**: Tighter consolidation zones
**Zero Lag EMA Implementation:**
Uses advanced calculation: `zlema = ema(src + src - src , length)` where lag = floor((length-1)/2). This reduces the inherent lag of traditional EMAs while maintaining smoothness.
**Trend Confirmation Framework:**
The 20/50 EMA system provides trend context with visual cloud fills:
- **Blue Cloud**: 20 EMA > 50 EMA (bullish trend environment)
- **Red Cloud**: 20 EMA < 50 EMA (bearish trend environment)
**Unique Visual Features**
**Multi-Layer Candle System:**
The indicator plots up to four candle layers simultaneously:
1. **Base Candles**: Primary EMA-based trend colors
2. **Violet Consolidation**: ATR-adjusted consolidation detection
3. **Rose Consolidation**: Tighter consolidation identification
4. **Bearish Overlay**: Optional bearish candle highlighting
**Support/Resistance Detection:**
Uses pivot point calculations with 50-bar left and right parameters:
- **Green Lines**: Resistance levels from pivot highs
- **Red Lines**: Support levels from pivot lows
- **Dynamic Updates**: Lines adjust based on price action
**RSI Extreme Markers:**
- **Red Triangles**: First occurrence of RSI > 75 (overbought)
- **Green Triangles**: First occurrence of RSI < 25 (oversold)
**Integrated Dashboard System**
**Trade Management Tables:**
Three independent dashboard tables provide comprehensive trade tracking:
- **Stock Information**: Ticker symbol and trade direction (BUY/SELL)
- **Order Details**: Entry price, stop loss, and take profit levels
- **Position Status**: Real-time trade monitoring with color-coded status
**Dashboard Customization:**
- **Positioning**: Bottom-right, bottom-center, bottom-left placement options
- **Color Coding**: Green for BUY positions, red for SELL positions
- **Manual Entry**: User-customizable fields for trade parameters
**Volume Analysis Integration**
**Volume Oscillator:**
Implements short (5) and long (10) EMA volume comparison:
`osc = 100 * (short_volume_ema - long_volume_ema) / long_volume_ema`
This provides additional confirmation for trend strength and potential reversals.
**Usage Instructions**
**Trend Identification:**
- **Primary Trend**: Monitor 9/21 EMA relationship and candle colors
- **Trend Strength**: Observe Zero Lag EMA color (green=bullish, red=bearish)
- **Trend Context**: Use 20/50 EMA cloud for higher timeframe bias
**Entry Signal Recognition:**
- **Bullish Setup**: Green candles + blue trend cloud + support level test
- **Bearish Setup**: Red candles + red trend cloud + resistance level test
- **Consolidation**: Violet/rose candles indicate ranging conditions
**Risk Management Application:**
- **Support/Resistance**: Use pivot levels for stop placement and targets
- **RSI Extremes**: Monitor overbought/oversold conditions for reversal potential
- **Dashboard Tracking**: Utilize tables for position management
**Advanced Analysis:**
- **Sensitivity Adjustment**: Modify violet/rose parameters for market volatility
- **Multi-Timeframe**: Apply system across different timeframes for confluence
- **Volume Confirmation**: Use volume oscillator for signal validation
**Customization Options**
**EMA Parameters:**
- **Main Flow EMAs**: Adjustable 9/21 period settings
- **Trend EMAs**: Customizable 20/50 period configuration
- **Zero Lag EMA**: Modifiable 144-period length
**Visual Settings:**
- **Candle Display**: Toggle bearish candle overlay
- **Trend Visualization**: Show/hide trend cloud and EMAs
- **Support/Resistance**: Enable/disable pivot level display
- **RSI Markers**: Control overbought/oversold triangle display
**Dashboard Configuration:**
- **Table Display**: Independent control for three dashboard tables
- **Trade Details**: Customizable entry, stop, and target fields
- **Position Status**: Manual BUY/SELL/neutral designation
**Alert System**
Built-in alert conditions for:
- **Bullish Signal**: EMA9 crosses above EMA21
- **Bearish Signal**: EMA9 crosses below EMA21
**Important Considerations**
This system works optimally in trending markets with clear directional bias. During consolidation periods, focus on violet/rose candle identification and range-bound strategies. The multiple EMA layers provide comprehensive trend analysis but may generate conflicting signals during choppy conditions.
The dashboard tables serve as trade management tools but require manual input for position tracking. The system combines established EMA techniques with original sensitivity-based consolidation detection and advanced visual presentation methods.
**Disclaimer**: This indicator is designed for educational and analytical purposes. The dashboard tables are for position tracking only and do not execute trades automatically. Past performance does not guarantee future results. Always implement proper risk management and consider multiple confirmation methods before making trading decisions.
Combined Cluster & Market StructureI barrowed code from the Mxwll Price Action Suite script as appreciated the structure in which the script defined structure, however I renamed variables and reduced the original script to define only the outer structure. I added volume and CVD clustering to define ranges and initiation market structures and add the ADX to assist with determining trend strength prior to labeling market structure breaks.
Combined Cluster & Market Structure indicator, a powerful and comprehensive tool for technical analysis. This script integrates two core concepts to provide a holistic view of market dynamics:
Z-Score Clustering & Volume Analysis: The indicator calculates Z-scores for both volume and Cumulative Volume Delta (CVD) to categorize market activity into six distinct clusters:
High-Conviction Bullish/Bearish: Signals of strong directional momentum based on high volume and corresponding CVD.
Effort vs. Result: High volume with moderate CVD, suggesting potential indecision or absorption.
Quiet Accumulation/Distribution: Low-volume periods with strong CVD, often preceding major moves.
Low Conviction/Noise: Represents periods of low market participation and weak signals.
These clusters are visually marked on the chart to provide real-time insight into market sentiment.
Market Structure Mapping: The indicator automatically detects and labels significant structural points to help you navigate price action. It identifies:
Higher Highs (HH) and Lower Lows (LL) to show the primary trend direction.
Breaks of Structure (BoS), indicating trend continuation.
Changes of Character (CHoCH), signaling a potential trend reversal.
Additionally, the script features consolidation box detection, which automatically highlights periods of low-conviction market activity, helping you avoid choppy, sideways markets. An integrated ADX filter ensures that structural breaks are only labeled during periods of strong trend strength, reducing false signals.
I want to thank Mxwll Capital for their contribution to the Combined Cluster & Market Structure indicator.
Andean Oscillator (Version 3.0 Sr.K)Andean Oscillator (Version 3.0 Sr.K)
This indicator is a momentum-based oscillator that measures the balance between bullish and bearish pressure.
🔧 How it works:
It calculates two adaptive envelopes around price and derives a "bullish" and "bearish" component.
The oscillator value is simply Bull - Bear, showing which side dominates.
A signal line (EMA of the oscillator) smooths the raw value.
Optionally, ±1σ levels are plotted to highlight statistically strong moves.
📊 What you see:
Histogram: Positive bars = bullish momentum, negative bars = bearish.
Orange Line: Signal line (EMA) used to confirm or anticipate reversals.
Zero Line: The equilibrium point. Crosses of this level signal a shift in market bias.
Green / Red Triangles: Buy and sell signals, either when crossing zero or crossing the signal line (depending on selected mode).
⚡ Early Signal Mode:
When enabled, signals trigger earlier — at the crossover between the oscillator and its signal line — allowing traders to enter potential reversals before a full zero-cross confirmation.
✅ Use cases:
Identify momentum shifts before price reversals.
Spot potential long/short setups with reduced lag.
Combine with price action or support/resistance for confirmation.
⚠️ Note: This is a tool for discretionary/manual trading. It does not open or close trades automatically. Always confirm with your own analysis and risk management.
BUY/SELL ✅ Fibonacci FULL TP 1-2-3-4 SL ATRUSE SL ATR
الفكرة العامة
تحديد الاتجاه (Bias):
يعتمد على المتوسط المتحرك 20 (SMA).
يقارن موقع الإغلاق داخل نطاق الشمعة.
يستخدم مؤشر انحراف (Linear Regression) كعامل إضافي.
إذا تحققت الشروط = إشارة شراء قوية (Bullish) أو بيع قوية (Bearish).
مستويات الدخول (ENTRY):
يتم حسابها من مناطق الـ OB (أعلى/أدنى سعر خلال عدد معين من الشموع).
يتم ضبطها باستخدام نسبة فيبوناتشي (افتراضياً 0.382).
وقف الخسارة (SL):
إما باستخدام OB (ذيل الشمعة السابقة). غير مستخسن
أو باستخدام مسافة ثابتة/ATR (حسب الإعدادات). مستخسن
أهداف الأرباح (TP1–TP4):
محسوبة كنِسب مضاعفة من قيمة المخاطرة (Risk).
مستويات TP مضبوطة بقيم فيبوناتشي (افتراضياً 1.15 – 1.85 – 2.618 – 3.618).
الرسم على الشارت:
يرسم خطوط أفقية لكل من: ENTRY – SL – TP1–TP4.
يضيف Labels ملونة (BUY باللون الأخضر، SELL بالبرتقالي).
الجدول (Table):
يظهر في الزاوية العلوية اليمنى.
يحتوي على تفاصيل الصفقة (النوع، ENTRY، SL، TP1–TP4).
التنبيهات (Alerts):
يصدر تنبيه عند ظهور إشارة شراء قوية أو بيع قوية.
General Idea
Bias Detection:
Based on the 20-period Simple Moving Average (SMA).
Compares the closing price position within the candle range.
Uses Linear Regression as an additional factor.
If conditions are met = strong Buy (Bullish) or strong Sell (Bearish) signal.
Entry Levels (ENTRY):
Calculated from OB zones (highest/lowest price within a certain number of candles).
Adjusted using Fibonacci ratio (default 0.382).
Stop Loss (SL):
Either using OB (previous candle’s wick) – not recommended.
Or using fixed distance/ATR (based on settings) – recommended.
Take Profit Targets (TP1–TP4):
Calculated as multiples of the risk value.
TP levels aligned with Fibonacci ratios (default 1.15 – 1.85 – 2.618 – 3.618).
Chart Drawing:
Draws horizontal lines for ENTRY – SL – TP1–TP4.
Adds colored labels (BUY in green, SELL in orange).
Table:
Displayed in the top-right corner.
Contains trade details (type, ENTRY, SL, TP1–TP4).
Alerts:
Sends an alert when a strong Buy or strong Sell signal appears.
Summary
This indicator:
Detects market bias (BUY/SELL).
Automatically calculates entry, stop loss, and targets.
Displays them on the chart with clear lines and colors.
Organizes the values inside a structured table.
Sends an alert with every new entry signal.
HTF LevelsHigh Timeframe (HTF) Levels mapped out and updated automatically:
Prior Day Close
Weekly Open/Close
Monthly Open/Close
YTD Open
These acts as major Support/Resistance levels, they come in good use along with VWAP, EMA, and RSI Indicators
VOLUME Full [Titans_Invest]VOLUME Full
Designed for traders who want to take volume analysis to the next level.
This version delivers deeper insight into volume activity, integrating multiple customizable filters to highlight key buying and selling pressure. It's a comprehensive solution for volume-based decision-making.
⯁ WHAT IS THE VOLUME❓
The Volume indicator is a fundamental technical analysis tool that measures the number of shares or contracts traded in a security or market during a given period. It helps traders and investors understand the strength or weakness of a price movement, confirm trends, and predict potential reversals. Volume is typically displayed as a histogram below a price chart, with each bar representing the volume traded during a specific time interval.
⯁ HOW TO USE THE VOLUME❓
The Volume indicator can be used in several ways to enhance trading decisions:
• Trend Confirmation: High volume during a price move confirms the strength of that trend, while low volume can indicate a weak or unsustainable trend.
• Breakouts: A price breakout from a pattern or range accompanied by high volume is more likely to be valid and sustainable.
• Divergence: When the price moves in one direction and volume moves in the opposite direction, it can signal a potential reversal.
• Overbought/Oversold Conditions: Extreme volume levels can sometimes indicate that an asset is overbought or oversold, though this is less straightforward than with oscillators like the RSI.
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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▪︎ Signal Validity: The signal will remain valid for X bars .
▪︎ Signal Sequence: Configurable as AND or OR .
🔹 volume Positive
🔹 volume Negative
🔹 volume > volume
🔹 volume < volume
🔹 volume > volume_MA
🔹 volume > volume_MA * Trigger Signal (close > open)
🔹 volume > volume_MA * Trigger Signal (Keep State P)
🔹 volume > volume_MA * Trigger Signal (close < open)
🔹 volume > volume_MA * Trigger Signal (Keep State N)
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🔸 CONDITIONS TO SELL 📉
______________________________________________________
▪︎ Signal Validity: The signal will remain valid for X bars .
▪︎ Signal Sequence: Configurable as AND or OR .
🔸 volume Positive
🔸 volume Negative
🔸 volume > volume
🔸 volume < volume
🔸 volume > volume_MA
🔸 volume > volume_MA * Trigger Signal (close > open)
🔸 volume > volume_MA * Trigger Signal (Keep State P)
🔸 volume > volume_MA * Trigger Signal (close < open)
🔸 volume > volume_MA * Trigger Signal (Keep State N)
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
______________________________________________________
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⯁ UNIQUE FEATURES
______________________________________________________
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Displays Positive & Negative Volume.
Automate and Monitor Signals/Alerts: BUY/SELL
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Displays Positive & Negative Volume.
Automate & Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : VOLUME Full
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Short Monday , Long TuesdayKillaxbt create this concept. Often BTC create this pattern:
Monday Short ✔️
Tuesday Long ✔️
Wednesday... Lets give it a test during Asia. Just remember who shared this first. 😉
Thursday is pivot. Depending on the narrative leading into thursday... we determine direction. ⚡️
This concept is graphic, he show where you are and where we can go. He give you a plan for the week
Concept : @killaxbt
Code by @paulbri
Smart Money LITE — Daily Sweep → HQ Signals (VWAP • FVG • CHoCH) 🔗 PRO VERSION (VWAP + FVG + CHoCH — full confirmations, all timeframes):
chartedgepro.gumroad.com/l/rmnbhw
Daily liquidity sweep → confluence signals with VWAP, FVG & CHoCH. Works on all timeframes & markets (Indices, Forex, Crypto).
WHAT IT DOES
Smart Money LITE+ highlights high-quality LONG/SHORT signals only after daily liquidity is swept (previous day high/low) with confluence from VWAP, FVG and structure (BOS/CHoCH).
Works on all timeframes and across markets: indices, forex, crypto.
KEY FEATURES (Lite)
• Daily sweep logic (PDH/PDL) + previous day zones
• VWAP + deviation bands (optional) and proximity filter
• 3-bar FVG boxes (visual) with adjustable extension
• ATR/volatility filter, optional HTF trend filter
• Anti-spam cooldown, clean LONG/SHORT labels
• Alerts: HQ LONG / HQ SHORT
HOW TO USE
1. Wait for price to sweep PDH/PDL → indicator opens “signal window”.
2. Look for confluence: VWAP touch/proximity + CHoCH or BOS in direction.
3. Enter with proper risk management (stop beyond swing/zone, partials).
SETTINGS TIPS
• Enable “Require VWAP Confluence?” for strictest setups.
• Use “HTF Trend Filter?” to align with higher-timeframe EMA trend.
• Adjust “After sweep (bars)” to define signal validity window.
• FVGs are visual in Lite — advanced filtering and confirmation are in Pro.
WHO IT'S FOR
Scalpers, intraday, and swing traders looking for objective, visual signals based on liquidity sweeps and VWAP/FVG confluence.
PRO VERSION (full confirmations)
Adds advanced FVG/iFVG logic, more confluence filters, dynamic risk tools and extended alert packages — optimized for all timeframes.
👉 chartedgepro.gumroad.com/l/rmnbhw
NOTES
• For educational purposes only. No financial advice.
• “Lite” is open-source; redistribution of code follows TradingView rules.
Dmarc OR & AVWAPThis indicator plots a rectangle moving to the right for a predefined set of times and predefined amount of time with a session AVWAP.
RMA EMA Crossover | MisinkoMasterThe RMA EMA Crossover (REMAC) is a trend-following overlay indicator designed to detect shifts in market momentum using the interaction between a smoothed RMA (Relative Moving Average) and its EMA (Exponential Moving Average) counterpart.
This combination provides fast, adaptive signals while reducing noise, making it suitable for a wide range of markets and timeframes.
🔎 Methodology
RMA Calculation
The Relative Moving Average (RMA) is calculated over the user-defined length.
RMA is a type of smoothed moving average that reacts more gradually than a standard EMA, providing a stable baseline.
EMA of RMA
An Exponential Moving Average (EMA) is then applied to the RMA, creating a dual-layer moving average system.
This combination amplifies trend signals while reducing false crossovers.
Trend Detection (Crossover Logic)
Bullish Signal (Trend Up) → When RMA crosses above EMA.
Bearish Signal (Trend Down) → When EMA crosses above RMA.
This simple crossover system identifies the direction of momentum shifts efficiently.
📈 Visualization
RMA and EMA are plotted directly on the chart.
Colors adapt dynamically to the current trend:
Cyan / Green hues → RMA above EMA (bullish momentum).
Magenta / Red hues → EMA above RMA (bearish momentum).
Filled areas between the two lines highlight zones of trend alignment or divergence, making it easier to spot reversals at a glance.
⚡ Features
Adjustable length parameter for RMA and EMA.
Overlay format allows for direct integration with price charts.
Visual trend scoring via color and fill for rapid assessment.
Works well across all asset classes: crypto, forex, stocks, indices.
✅ Use Cases
Trend Following → Stay on the right side of the market by following momentum shifts.
Reversal Detection → Crossovers highlight early trend changes.
Filter for Trading Systems → Use as a confirmation overlay for other indicators or strategies.
Visual Market Insight → Filled zones provide immediate context for trend strength.
Market Internals Dashboard (Table) v5 - FixedHas a Dashboard for Market Internals and 3 Indices, very helpful
Mirrorpip 5-MAs StrategyThis strategy has 5 Moving averages and all of them can be changed to
SMA/EMA/WMA/TEMA/DEMA
TGT/SL/TSL in points and percentage as well
works with all major crypto exchanges
VWAP + Range Breakout (Pre-Signal for Manual Entry)WHAT IT DOES
This tool highlights potential breakout opportunities when price sweeps the previous day’s high or low and aligns with VWAP and short-term range levels. It provides both pre-signals (early warnings) and confirmed signals (breakout closed) so traders can prepare before momentum accelerates.
Works on all timeframes and across markets (indices, forex, crypto). Especially useful during active London and New York sessions.
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KEY FEATURES
Daily sweep logic: previous day high/low as liquidity reference
VWAP with cumulative calculation
Adjustable range breakout levels
Optional SMA trend filter
Session filter (London / NY trading hours)
Pre-Signal markers (early alert before breakout)
Confirmed LONG/SHORT signals after breakout close
Alerts for Pre-Long, Pre-Short, and Confirmed entries
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HOW TO USE
1. Wait for price to sweep the previous day high/low.
2. Look for alignment with VWAP and the defined range breakout levels.
3. Use trend/session filters for higher accuracy.
4. Combine with your own risk management rules.
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SETTINGS TIPS
Adjust range lookback for different timeframes (shorter for fast intraday, longer for higher timeframes).
Enable/disable session filters depending on your market.
Use SMA trend filter to stay aligned with higher-timeframe bias.
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WHO IT’S FOR
Scalpers, intraday, and swing traders who want early signals when liquidity is taken and price is preparing for a breakout.
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NOTES
For educational purposes only. No financial advice.
This script is open-source; redistribution follows TradingView rules.
RSI ScannerRSI Scanner
This script scans a custom list of symbols and displays their RSI values for a selected higher timeframe (default: 3M). It provides a quick way to monitor multiple markets in one place without switching charts.
Features:
Customizable timeframe for RSI calculation (default: 3M).
Adjustable RSI length and source input.
Flexible filter: display all symbols or only those with RSI above a chosen threshold.
Input your own list of symbols (stocks, forex, futures, crypto) via a text field.
Results displayed in a clean, table directly on the chart.
Automatic column split when the symbol list is long.
Table header shows selected timeframe and filter settings for clarity.
How to use:
Add the script to your chart.
Open the Inputs panel.
In Symbols List, enter the tickers you want to track, separated by commas (e.g. AAPL, TSLA, EURUSD, BTCUSD).
Set the desired Timeframe (e.g. 3M, 1M, W).
Adjust RSI Length and Source if needed.
Enable or disable filtering:
If filtering is enabled, only symbols with RSI ≥ the threshold will be shown.
If disabled, all entered symbols will be displayed.
The table in the top-right corner will update automatically on the last bar.
Use cases:
Monitor RSI across different asset classes on higher timeframes.
Quickly spot overbought symbols (e.g. RSI > 70) without switching charts.
Create a custom multi-market watchlist tailored to your strategy.
J. YOUNG INDICATOR (2)QUICK REFERENCE to help with a PRICE FOR OPTIONS and or B/H entry MEDIAN PRICE of the MONTHLY/QUARTERLY aVWAPS to get a more accurate price point